Geo Intelligence.

RESEARCH & SOURCES

Data‐Driven Zonation for Seismic Exposure Modeling via Machine Learning

Earthquake Spectra · 2026.06.11

Paper authors：Juliana E. Rivera · Jorge I. Vélez · Carlos A. Arteta

DOI: 10.1002/esp4.70089

Solid Earth Remote sensing & space Mathematical geosciences & data

This record provides source metadata. A detailed editorial analysis has not yet been published.

Read the original source ↗

Related research

Research articleGeoscience Data Journal2026.09.21

Machine Learning Approaches for Predicting Total Organic Carbon From Petrophysical Well Logs in the Wufeng–Longmaxi Shale, Southeast Sichuan Basin, ChinaOriginal title · English

Authors Haseeb Ahmad · Jiang Shu · Naveed Rehman · Muhammad Asad · Muhammad Tariq · Aqib Saeed · Attiqullah Ayaz

Details & notes Read original ↗

Research articlePure and Applied Geophysics2026.09.21

Machine Learning–Driven Seismic Vulnerability Assessment of Prefabricated Concrete Beam–Column Joints Using High-Fidelity SimulationsOriginal title · English

Authors Jinzhou He

Details & notes Read original ↗

Research articleBulletin of Earthquake Engineering2026.04.21

Explainable machine learning for ground motion modeling: predictive dominance of energy-based measures in the Southern Turkey seismic sequenceOriginal title · English

Authors Mohammad Reza Bagerzadeh Karimi

Details & notes Read original ↗

Research articleJournal of Seismology2026.08.31

Explainable and statistically validated machine learning for earthquake alert-level classification using seismic intensity featuresOriginal title · English

Authors Yıldırım Özüpak

Details & notes Read original ↗